In multimedia delivery, especially for mobile users, the Multi-Path Transmission Control Protocol... more In multimedia delivery, especially for mobile users, the Multi-Path Transmission Control Protocol (MPTCP) can ameliorate the sustainability of multimedia sessions continuity. MPTCP establishes a number of sub-flows equals to the number of the available wireless active connections so, the chance of service interruptions decreases. This paper investigates the performance evaluation of using MPTCP in heterogeneous wireless networks (HetNets). Through this evaluation, we propose two dimensional Markov model for MPTCP seamless handover between two wireless connections. Then, we implement the handover algorithm using MPTCP open source Linux Kernel. Moreover, an implementation for Intelligent Transportation System (ITS) platform is conducted in order to valorise the MPTCP aspect in such real time platforms. The overall results show that MPTCP outperforms classical methodologies of handover.
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov 1, 2017
In this work, a green adaptive transportation decision system is proposed for choosing the best t... more In this work, a green adaptive transportation decision system is proposed for choosing the best transportation route calculated for different means of transportation (train, metro and bus) to reach a certain destination at time t. This selection will be based on significant parameters like CO2 emissions of these transport means, travel duration, ticket tariff, waiting connection time to catch such a transport mean, connection time between the different transport means to reach the destination, and comfortability feedback. Q-Learning, a reinforcement learning technique based reward is applied for validating the first phase in this work. The second contribution is to build the prediction of the best transport route by using Support Vector Machine (SVM) learning techniques.
This paper aims at using the novel concept of LTE-based Device-to-Device communications (D2D) as ... more This paper aims at using the novel concept of LTE-based Device-to-Device communications (D2D) as a new alternative for Intelligent Transportation Systems (ITS) vehicular communications in advanced 4G networks and beyond. We propose the Cellular Vehicular Network (CVN) solution as a reliable and scalable operator-assisted opportunistic architecture that supports hyper-local ITS services as 3GPP Proximity Services (ProSe). A distributed D2D architecture is proposed based on a hybrid clustering approach to organize vehicles into dynamic clusters. The proposed solution includes a network setup phase based on enhanced LTE authorization and authentication procedures for ITS nodes, and an LTE direct discovery phase. A BCMP queuing network is used to model the CVN core network and to evaluate the impact of core network entities load on the network setup delay. The results are validated with Matlab and compared to the network setup delays of an existing solution.
2015 International Wireless Communications and Mobile Computing Conference (IWCMC), 2015
Multi-modal traffic management in Intelligent Transportation Systems (ITS) aims to provide a more... more Multi-modal traffic management in Intelligent Transportation Systems (ITS) aims to provide a more efficient traffic regulation to passengers and reduce congestion and obstruction in the roads. In spite of the outstanding progress made in this research filed; traffic management still a very challenging problem regarding the multiple factors that have to be taken into account in any proposed solution. To tackle this problem, this paper introduces a collaborative model based context awareness multi-modal traffic management aiming at providing an efficient way to manage the traffic inside a transportation station. In this model (Multi-Layers Stations: the stations that have different intersections for different means of transport), the traffic management is based on a Q-learning technique that takes into account the context awareness parameters to provide more potent decisions. The learning technique offers the opportunity to the system (transportation station) to adapt dynamically its decision (choice of the best transportation mean) based on feedbacks provided by the passengers traveling from that specified station and thus optimize their journey through the transportation network. The efficacy of our proposed technique is validated through extensive simulations for different layers of transport means like metros, trains, and buses. Our proposal holds for any ITS system decisions provided the availability of real-time traces about the passengers passing by any station.
2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, 2014
LTE-based Device-to-Device (D2D) communications have been envisioned as a new key feature for sho... more LTE-based Device-to-Device (D2D) communications have been envisioned as a new key feature for short range wireless communications in advanced and beyond 4G networks. We propose in this work to exploit this novel concept of D2D as a new alternative for Intelligent Transportation Systems (ITS) Vehicle-to-Vehicle/Infrastructure (V2X) communications in next generation cellular networks. A 3GPP standard architecture has been recently defined to support Proximity Services (ProSe) in the LTE core network. Taking into account the limitations of this latter and the requirements of ITS services and V2X communications, we propose the CVN solution as an enhancement to the ProSe architecture in order to support hyper-local ITS services. CVN provides a reliable and scalable LTE-assisted opportunistic model for V2X communications through a distributed ProSe architecture. Using a hybrid clustering approach, vehicles are organized into dynamic clusters that are formed and managed by ProSe Cluster Heads which are elected centrally by the CVN core network. ITS services are deemed as Proximity Services and benefit from the basic ProSe discovery, authorization and authentication mechanisms. The CVN solution enhances V2V communication delays and overhead by reducing the need for multi-hop geo-routing. Preliminary simulation results show that the CVN solution provides short setup times and improves ITS communication delays.
Ubiquitous Sensor Network (USN) is a conceptual network built over existing physical networks. It... more Ubiquitous Sensor Network (USN) is a conceptual network built over existing physical networks. It makes use of sensed data and provides knowledge services to anyone, anywhere and at anytime, and where the information is generated by using context awareness. In 2010, the ITU-T provided the requirements to support USN applications and services in the Next Generation Network (NGN) environment to exploit the advantages of the core network. One of the main promising markets for the USN application and services is the e-Health. It provides continuous patients’ monitoring and enables a great improvement in medical services. In this paper, the authors provide the evaluation of the e-Health signaling model in the USN environment, which was introduced in a previously published work. The model is based on using the IP Multimedia Subsystem (IMS) as a service controller sub-layer for the USN platform. This paper provides a USN based IMS detailed network design for e-Health implementation with em...
2019 21st International Conference on Advanced Communication Technology (ICACT), 2019
In this paper, a new statistical received signal strength (RSS) model is formulated to be used in... more In this paper, a new statistical received signal strength (RSS) model is formulated to be used in fingerprint offline mode and online mode for detecting the location accurately. The range and the midrange methods are used in this model that gives a new mean and standard deviation as called in this paper. Also, the frequency distribution patterns are calculated for RSS signals and used in RSS model. WLAN Indoor localization application is developed on Android Smartphone to be used in detecting the accurate location. The application is tested in City Center Mall in Nasr City, Cairo, Egypt and used the unknowing location access points (APs) of this MALL. The RSS model of this paper is used by the application for constructing the radio map of testing area in fingerprint offline mode. In fingerprint online mode, a new searching method is used for matching between the predefined locations of radio map and the online locations. The results give the accurate location correctly except some l...
In multimedia delivery, especially for mobile users, the Multi-Path Transmission Control Protocol... more In multimedia delivery, especially for mobile users, the Multi-Path Transmission Control Protocol (MPTCP) can ameliorate the sustainability of multimedia sessions continuity. MPTCP establishes a number of sub-flows equals to the number of the available wireless active connections so, the chance of service interruptions decreases. This paper investigates the performance evaluation of using MPTCP in heterogeneous wireless networks (HetNets). Through this evaluation, we propose two dimensional Markov model for MPTCP seamless handover between two wireless connections. Then, we implement the handover algorithm using MPTCP open source Linux Kernel. Moreover, an implementation for Intelligent Transportation System (ITS) platform is conducted in order to valorise the MPTCP aspect in such real time platforms. The overall results show that MPTCP outperforms classical methodologies of handover.
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov 1, 2017
In this work, a green adaptive transportation decision system is proposed for choosing the best t... more In this work, a green adaptive transportation decision system is proposed for choosing the best transportation route calculated for different means of transportation (train, metro and bus) to reach a certain destination at time t. This selection will be based on significant parameters like CO2 emissions of these transport means, travel duration, ticket tariff, waiting connection time to catch such a transport mean, connection time between the different transport means to reach the destination, and comfortability feedback. Q-Learning, a reinforcement learning technique based reward is applied for validating the first phase in this work. The second contribution is to build the prediction of the best transport route by using Support Vector Machine (SVM) learning techniques.
This paper aims at using the novel concept of LTE-based Device-to-Device communications (D2D) as ... more This paper aims at using the novel concept of LTE-based Device-to-Device communications (D2D) as a new alternative for Intelligent Transportation Systems (ITS) vehicular communications in advanced 4G networks and beyond. We propose the Cellular Vehicular Network (CVN) solution as a reliable and scalable operator-assisted opportunistic architecture that supports hyper-local ITS services as 3GPP Proximity Services (ProSe). A distributed D2D architecture is proposed based on a hybrid clustering approach to organize vehicles into dynamic clusters. The proposed solution includes a network setup phase based on enhanced LTE authorization and authentication procedures for ITS nodes, and an LTE direct discovery phase. A BCMP queuing network is used to model the CVN core network and to evaluate the impact of core network entities load on the network setup delay. The results are validated with Matlab and compared to the network setup delays of an existing solution.
2015 International Wireless Communications and Mobile Computing Conference (IWCMC), 2015
Multi-modal traffic management in Intelligent Transportation Systems (ITS) aims to provide a more... more Multi-modal traffic management in Intelligent Transportation Systems (ITS) aims to provide a more efficient traffic regulation to passengers and reduce congestion and obstruction in the roads. In spite of the outstanding progress made in this research filed; traffic management still a very challenging problem regarding the multiple factors that have to be taken into account in any proposed solution. To tackle this problem, this paper introduces a collaborative model based context awareness multi-modal traffic management aiming at providing an efficient way to manage the traffic inside a transportation station. In this model (Multi-Layers Stations: the stations that have different intersections for different means of transport), the traffic management is based on a Q-learning technique that takes into account the context awareness parameters to provide more potent decisions. The learning technique offers the opportunity to the system (transportation station) to adapt dynamically its decision (choice of the best transportation mean) based on feedbacks provided by the passengers traveling from that specified station and thus optimize their journey through the transportation network. The efficacy of our proposed technique is validated through extensive simulations for different layers of transport means like metros, trains, and buses. Our proposal holds for any ITS system decisions provided the availability of real-time traces about the passengers passing by any station.
2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, 2014
LTE-based Device-to-Device (D2D) communications have been envisioned as a new key feature for sho... more LTE-based Device-to-Device (D2D) communications have been envisioned as a new key feature for short range wireless communications in advanced and beyond 4G networks. We propose in this work to exploit this novel concept of D2D as a new alternative for Intelligent Transportation Systems (ITS) Vehicle-to-Vehicle/Infrastructure (V2X) communications in next generation cellular networks. A 3GPP standard architecture has been recently defined to support Proximity Services (ProSe) in the LTE core network. Taking into account the limitations of this latter and the requirements of ITS services and V2X communications, we propose the CVN solution as an enhancement to the ProSe architecture in order to support hyper-local ITS services. CVN provides a reliable and scalable LTE-assisted opportunistic model for V2X communications through a distributed ProSe architecture. Using a hybrid clustering approach, vehicles are organized into dynamic clusters that are formed and managed by ProSe Cluster Heads which are elected centrally by the CVN core network. ITS services are deemed as Proximity Services and benefit from the basic ProSe discovery, authorization and authentication mechanisms. The CVN solution enhances V2V communication delays and overhead by reducing the need for multi-hop geo-routing. Preliminary simulation results show that the CVN solution provides short setup times and improves ITS communication delays.
Ubiquitous Sensor Network (USN) is a conceptual network built over existing physical networks. It... more Ubiquitous Sensor Network (USN) is a conceptual network built over existing physical networks. It makes use of sensed data and provides knowledge services to anyone, anywhere and at anytime, and where the information is generated by using context awareness. In 2010, the ITU-T provided the requirements to support USN applications and services in the Next Generation Network (NGN) environment to exploit the advantages of the core network. One of the main promising markets for the USN application and services is the e-Health. It provides continuous patients’ monitoring and enables a great improvement in medical services. In this paper, the authors provide the evaluation of the e-Health signaling model in the USN environment, which was introduced in a previously published work. The model is based on using the IP Multimedia Subsystem (IMS) as a service controller sub-layer for the USN platform. This paper provides a USN based IMS detailed network design for e-Health implementation with em...
2019 21st International Conference on Advanced Communication Technology (ICACT), 2019
In this paper, a new statistical received signal strength (RSS) model is formulated to be used in... more In this paper, a new statistical received signal strength (RSS) model is formulated to be used in fingerprint offline mode and online mode for detecting the location accurately. The range and the midrange methods are used in this model that gives a new mean and standard deviation as called in this paper. Also, the frequency distribution patterns are calculated for RSS signals and used in RSS model. WLAN Indoor localization application is developed on Android Smartphone to be used in detecting the accurate location. The application is tested in City Center Mall in Nasr City, Cairo, Egypt and used the unknowing location access points (APs) of this MALL. The RSS model of this paper is used by the application for constructing the radio map of testing area in fingerprint offline mode. In fingerprint online mode, a new searching method is used for matching between the predefined locations of radio map and the online locations. The results give the accurate location correctly except some l...
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